Congshan Jiang

1.6k citations
65 papers · 1.2k · h-index 21

Impact in

Papers in

    • Circular RNAs in diseases 7
    • RNA Interference and Gene Delivery 6
    • MicroRNA in disease regulation 19
    • Cancer-related molecular mechanisms research 11

Congshan Jiang

63 papers receiving 1.2k citations

Peers

Congshan Jiang
Comparison fields: 5 of 99
  • Developmental Neuroscience 91
  • Cancer Research 326
  • Immunology 274
  • Rheumatology 174
  • Critical Care and Intensive Care Medicine 48
Replace Xiaohong Peng with:
Xiaohong Peng China
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Brian Pedersen United States
Xiya Yu China
Ruihua Ma China
Yuru Liu United States
Ken Iseki Japan
Roberto Bomprezzi United States
Zicheng Wang China
Haijing Sun China
Congshan Jiang relative to Xiaohong Peng China Xiaohong Peng's profile →
Citations per field
00.5×7.0×
Xiaohong Peng · 1×
Citations per year

Countries citing papers authored by Congshan Jiang

Since Specialization
Citations

This map shows the geographic impact of Congshan Jiang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Congshan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congshan Jiang more than expected).

Fields of papers citing papers by Congshan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Congshan Jiang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Congshan Jiang. The network helps show where Congshan Jiang may publish in the future.

Co-authors

The 25 scholars most cited alongside Congshan Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Congshan Jiang Line = papers co-authored together Congshan Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201479
2 202065
3 201557
4 201053
5 201449
6 201347
7 201744
8 201644
9 201141
10 201439
11 202039
12 201733
13 202030
14 201930
15 202026
16 201924
17 201824
18
MicroRNAs associated with osteoarthritis differently expressed in bone matrix gelatin (BMG) rat model.
201524
19 201823
20 201122

About Congshan Jiang

Congshan Jiang is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Rheumatology, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (11 papers), Immune Response and Inflammation (8 papers), Circular RNAs in diseases (7 papers), Cytokine Signaling Pathways and Interactions (6 papers), Anesthesia and Neurotoxicity Research (6 papers), RNA Interference and Gene Delivery (6 papers) and Intensive Care Unit Cognitive Disorders (5 papers). The work is most often cited by research in Developmental Neuroscience (91 citations), Cancer Research (326 citations), Immunology (274 citations), Rheumatology (174 citations) and Critical Care and Intensive Care Medicine (48 citations). Congshan Jiang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Shemin Lu, Liesu Meng, Wenhua Zhu, Jing Xu, Yasheng Yan, Xiaowen Bai, Weikun Hou, Thiago Arzua, Sarah Logan and Jian Sun. Their work appears in journals such as Arthritis Research & Therapy, Frontiers in Immunology, Clinical Immunology, Journal of Pharmaceutical Analysis and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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